{"id":"W2009669522","doi":"10.1080/10826080500391795","title":"Binge Drug Use Independently Predicts HIV Seroconversion Among Injection Drug Users: Implications for Public Health Strategies","year":2006,"lang":"en","type":"article","venue":"Substance Use & Misuse","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; AIDS Vancouver; St. Paul's Hospital","funders":"Canadian Institutes of Health Research; National Institute on Drug Abuse; University of British Columbia","keywords":"Medicine; Gee; Seroconversion; Binge drinking; Cohort; Cohort study; Odds ratio; Generalized estimating equation; Proportional hazards model; Prospective cohort study; Incidence (geometry); Demography; Public health; Cumulative incidence; Internal medicine; Environmental health; Human immunodeficiency virus (HIV); Immunology; Poison control; Injury prevention","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006868796,0.0004837592,0.0005941229,0.0005185394,0.0005978697,0.0004802682,0.0003216128,0.0002255757,0.00003423358],"category_scores_gemma":[0.0002646257,0.0004886172,0.0001956814,0.0009531059,0.0002117471,0.003423007,0.00005467708,0.0005464369,0.00006033618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008511842,"about_ca_system_score_gemma":0.0007866398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347655,"about_ca_topic_score_gemma":0.02490185,"domain_scores_codex":[0.9963424,0.0001860258,0.0008661815,0.0009400243,0.0005859946,0.001079429],"domain_scores_gemma":[0.996737,0.0004169131,0.0005322904,0.001093198,0.0006474902,0.0005730907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003774109,0.0009040618,0.8788956,0.0004111304,0.0001305589,0.00001772921,0.01787423,0.000303214,0.002014052,0.002369193,0.09514694,0.001555925],"study_design_scores_gemma":[0.008848309,0.0004161592,0.9012164,0.0007126757,0.0002478007,0.00006235775,0.04812582,0.00146418,0.002082969,0.001586855,0.03411429,0.001122209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878206,0.000376022,0.003286945,0.004350711,0.0003614157,0.002562722,0.0003098305,0.0007121228,0.0002196203],"genre_scores_gemma":[0.9889459,0.0002795547,0.00204768,0.0004939291,0.0003657824,0.0002997307,0.001065509,0.0001442664,0.006357651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06103265,"threshold_uncertainty_score":0.9997566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07575388094516738,"score_gpt":0.3300838850116356,"score_spread":0.2543300040664682,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}